Skip to main content
Diam Kojwang

Diam Kojwang

Data Annotator

Talent
NairobiMember since April 20, 2026
Advanced Data AnnotationBounding BoxesPolygon AnnotationImage SegmentationAI Data LabelingQuality AssuranceComputer Vision Annotation Tools (CVAT)AI/ML Workflows UnderstandingQuality Control (IoU, Precision, Recall, F1 Score)Attention to DetailTime ManagementRemote Work DisciplineCommunicationTeamworkMS OfficeOnline ToolsAnnotation Platforms
·

Hire this person

Send a job offer directly to this candidate

Advanced Data AnnotationBounding BoxesPolygon AnnotationImage SegmentationAI Data Labeling

About

Detail-oriented and highly motivated Data Annotation Specialist and AI Engineering enthusiast with over 3 years of experience in data labeling, image annotation, and AI model support. Proven ability to deliver high-quality annotated datasets with strong accuracy and consistency, meeting strict quality benchmarks such as IoU and F1-score requirements. Adept at working with AI tools and platforms including CVAT and similar annotation systems.

Fluent in German (B2 Certified), English, Kiswahili, and French, with excellent communication skills and the ability to work effectively in remote, fast-paced environments. Passionate about artificial intelligence, machine learning workflows, and continuous professional development.

Experience

Data Annotation Specialist at Freelance / Remote (2023-01 – Present)

Specialized in annotating large datasets including images and videos for AI training purposes with focus on accuracy and quality assurance.

  • Annotated large datasets including images and videos for AI training purposes
  • Applied bounding boxes, polygon annotation, and segmentation techniques
  • Ensured high-quality outputs by meeting strict accuracy benchmarks
  • Reviewed and corrected annotations to maintain dataset consistency
  • Worked with AI teams to improve model performance through accurate labeling
  • Used tools such as CVAT and similar platforms for annotation tasks

AI Engineering Support at Self-driven Projects (2023-01 – Present)

Entry-level self-driven projects focused on AI and machine learning workflows with practical application of computer vision concepts.

  • Assisted in preparing datasets for machine learning models
  • Gained practical understanding of computer vision and AI workflows
  • Participated in annotation projects supporting model training and evaluation
  • Continuously learning AI concepts including supervised learning and dataset optimization

Volunteer at Local Hospital

Provided patient support and general hospital duties while developing communication and teamwork skills.

  • Assisted in patient support and general hospital duties
  • Collaborated with healthcare staff to improve patient experience
  • Developed communication and teamwork skills
  • Gained exposure to healthcare environments and service delivery

Education

KCSE Certificate – Kakamega High School (2021-01 – 2024-12)

KCPE Certificate – Disciples of Mercy School (2010-01 – 2020-12)

Skills

Data Annotator

Reviews